Hyperspectral imaging and spectral-spatial classification for cancer detection

Baowei Fei; Hamed Akbari; Luma V. Halig

doi:10.1109/BMEI.2012.6513047

Hyperspectral imaging and spectral-spatial classification for cancer detection

Baowei Fei, Hamed Akbari, Luma V. Halig

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

26 Scopus citations

Abstract

Hyperspectral imaging is an emerging technology for biomedical applications. In this study, an advanced image processing and classification method is proposed to analyze hyperspectral image data for prostate cancer detection. Least squares support vector machines (LS-SVMs) were developed and evaluated for classifying hyperspectral data in order to enhance the detection of cancer tissue. The method was used to detect prostate cancer in tumor-bearing mice. Spatially resolved images were created to highlight the differences of the reflectance properties of cancer versus those of normal tissue. Preliminary results in mice show that the hyperspectral imaging and classification method was able to reliably detect prostate tumors in the animal model. The hyperspectral imaging technique may provide a new tool for optical diagnosis of cancer.

Original language	English (US)
Title of host publication	2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012
Pages	62-64
Number of pages	3
DOIs	https://doi.org/10.1109/BMEI.2012.6513047
State	Published - 2012
Externally published	Yes
Event	2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012 - Chongqing, China Duration: Oct 16 2012 → Oct 18 2012

Publication series

Name	2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012

Conference

Conference	2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012
Country/Territory	China
City	Chongqing
Period	10/16/12 → 10/18/12

Keywords

Hyperspectral imaging
prostate cancer detection
spectral-spatial classification
support vector machine

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

10.1109/BMEI.2012.6513047

Cite this

Fei, B., Akbari, H., & Halig, L. V. (2012). Hyperspectral imaging and spectral-spatial classification for cancer detection. In 2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012 (pp. 62-64). Article 6513047 (2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012). https://doi.org/10.1109/BMEI.2012.6513047

Hyperspectral imaging and spectral-spatial classification for cancer detection. / Fei, Baowei; Akbari, Hamed; Halig, Luma V.
2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012. 2012. p. 62-64 6513047 (2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fei, B, Akbari, H & Halig, LV 2012, Hyperspectral imaging and spectral-spatial classification for cancer detection. in 2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012., 6513047, 2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012, pp. 62-64, 2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012, Chongqing, China, 10/16/12. https://doi.org/10.1109/BMEI.2012.6513047

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Hyperspectral imaging and spectral-spatial classification for cancer detection

Abstract

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Keywords

ASJC Scopus subject areas

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